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---
tags:
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: SingleBertModel-ProtBertfinetuned-smilesBindingDB
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# SingleBertModel-ProtBertfinetuned-smilesBindingDB
This model is a fine-tuned version of [nepp1d0/SingleBertModel-ProtBertfinetuned-smilesBindingDB](https://huggingface.co/nepp1d0/SingleBertModel-ProtBertfinetuned-smilesBindingDB) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.6792
- Accuracy: 0.4893
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
More information needed
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0001
- train_batch_size: 1
- eval_batch_size: 1
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| 1.3289 | 1.0 | 13806 | 1.1720 | 0.5107 |
| 1.2988 | 2.0 | 27612 | 1.3508 | 0.4893 |
| 1.334 | 3.0 | 41418 | 1.4480 | 0.4893 |
| 1.3082 | 4.0 | 55224 | 1.4471 | 0.4893 |
| 1.3746 | 5.0 | 69030 | 1.6792 | 0.4893 |
### Framework versions
- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.1.0
- Tokenizers 0.12.1
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